BIG Search is a scalable text search engine built based on ElasticSearch (a highly scalable open-source
full-text search and analytics engine based on Apache Lucene). It features cross-domain search and
users to gain access to a wide range of biomedical data, not only from NGDC databases but also partner
throughout the world.
Total 2 record(s) from BioProject
- Accession: PRJCA000999
- Title: Prevalence and spectrum of AKT1, PIK3CA, PTEN and TP53 somatic mutations in Chinese breast cancer patients
- Description: Breast cancer is the leading cause of cancer-related death among women. AKT1, PIK3CA, PTEN and TP53 mutations were common observed in breast cancer representing potential clinical biomarkers for breast cancer classification and treatment. In this study, the complete coding regions and exon-intron boundaries of AKT1, PIK3CA, PTEN and TP53 genes were sequenced and analyzed in breast tumor from 313 Chinese breast cancer patients using microfluidic PCR-based target enrichment and next-generation sequencing technology.
- BasicInfo : PRJCA000999; Targeted Locus (Loci) Raw sequence reads; Medical
- Accession: PRJCA002392
- Title: Molecular characteristics of synchronous multiple gastric cancer
- Description: Multiple gastric cancer (MGC) is characterized by the presence of more than two different tumors in the stomach. However, the clonal relationship and carcinogenesis of MGC remain unclear. We investigated the clonal relationship and role of germline mutations in the carcinogenesis of MGC. We gathered 16 multiple gastric cancer patients. Thirty-three tumor samples and sixteen normal gastric tissue or blood samples were obtained from January 2016 to December 2017. We also conducted analyses for 208 gastric cancer and 49 esophagogastric junction cancer (GC-EGJ) tumors from TCGA. DNA extraction from our samples was conducted for whole-exome sequencing (WES).We found that tumor mutation burden (TMB) was not statistically significant within database and our data in the GC-EGJ (P=0.0591) and GC groups (P=0.3113). The mutation spectrum and signatures also showed uniform distributions in GC and GC-EGJ groups within our data and TCGA database. Among sixteen patients, four were identified as monoclonal, in which 11, 10, 26 and 6 somatic mutations were shared within different tumors of P7, P8, P9 and P16, respectively. However, no common mutation between different tumors of the same patient was found among the other 12 patients. After identifying predisposing genes, we found that germline MSH2 and NCOR2 mutations were significantly dominant in 8/12 and 10/12 of genetic MGC patients. Additionally, all patients were identified with MSH2 mutations in cancer samples of those same patients. Taking genetic MGCs as a whole, we identified that TP53 were significantly mutated in 14 of 25 tumor samples. In addition, MSH2 mutations were found in all patients.
- BasicInfo : PRJCA002392; Exome; Medical